2026 Tony Lindeberg: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	4950	4814	21	21	164	22558

Overview

Tony Lindeberg is affiliated with the Royal Institute of Technology in Sweden. Their research spans several interconnected fields with a primary focus on computer science and neuroscience.

The scientist's work has contributed to multiple subfields, including:

Cognitive Neuroscience
Computer Vision and Pattern Recognition
Media Technology
Artificial Intelligence
Biophysics

Research topics frequently addressed in their publications cover:

Visual perception and processing mechanisms
Neural dynamics and brain function
Neural Networks and Applications
Remote-Sensing Image Classification
Medical Image Segmentation Techniques
Advanced Image and Video Retrieval Techniques
Cell Image Analysis Techniques

Tony Lindeberg has published in several high-impact venues, with multiple contributions to:

arXiv (Cornell University)
Journal of Mathematical Imaging and Vision
Biological Cybernetics
Journal of Computational Neuroscience
Frontiers in Computational Neuroscience

Coauthorship is a recurring aspect of their research, with frequent collaborators being:

Ylva Jansson
Andrzej Perzanowski
Lukas Finnveden
Jens Egholm Pedersen
Jörg Conradt

Among recent scholarly papers authored by Tony Lindeberg are:

"Scale-Covariant and Scale-Invariant Gaussian Derivative Networks" (2021), published in Journal of Mathematical Imaging and Vision
"Discrete Approximations of Gaussian Smoothing and Gaussian Derivatives" (2024), published in Journal of Mathematical Imaging and Vision
"A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time" (2023), published in Biological Cybernetics
"Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields" (2023), published in Frontiers in Computational Neuroscience

The scientist has also been involved in collaborative works where others such as Ylva Jansson contributed, exemplified by the paper "Scale-Invariant Scale-Channel Networks: Deep Networks That Generalise to Previously Unseen Scales" published in 2022 in the Journal of Mathematical Imaging and Vision.

Best Publications

Feature Detection with Automatic Scale Selection

Tony Lindeberg

3832
Citations
Scale-space theory in computer vision

Tony Lindeberg

3049
Citations
Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales

Tony Lindeberg

2118
Citations
Edge Detection and Ridge Detection with Automatic Scale Selection

Tony Lindeberg

1955
Citations
Scale-space for discrete signals

T. Lindeberg

1005
Citations
Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention

Tony Lindeberg

928
Citations
Scale Invariant Feature Transform

Tony Lindeberg

640
Citations
Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering

L. Bretzner;I. Laptev;T. Lindeberg

542
Citations
Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure'

Tony Lindeberg;Jonas Gårding

414
Citations
Automatic extraction of roads from aerial images based on scale space and snakes

I. Laptev;H. Mayer;T. Lindeberg;W. Eckstein

381
Citations
Local descriptors for spatio-temporal recognition

Ivan Laptev;Tony Lindeberg

305
Citations
Image Matching Using Generalized Scale-Space Interest Points

Tony Lindeberg

261
Citations
Local velocity-adapted motion events for spatio-temporal recognition

Ivan Laptev;Barbara Caputo;Christian Schüldt;Tony Lindeberg

254
Citations
Scale selection for differential operators

Tony Lindeberg

203
Citations
Direct computation of shape cues using scale-adapted spatial derivative operators

Jonas Gårding;Tony Lindeberg

199
Citations
Discrete derivative approximations with scale-space properties: A basis for low-level feature extraction

Tony Lindeberg

198
Citations
Feature Tracking with Automatic Selection of Spatial Scales

Lars Bretzner;Tony Lindeberg

190
Citations
Scale Selection Properties of Generalized Scale-Space Interest Point Detectors

Tony Lindeberg

176
Citations
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection

A. Almansa;T. Lindeberg

174
Citations
Scale-Space : A Framework for Handling Image Structures at Multiple Scales

Tony Lindeberg

166
Citations
Space-time interest points

Unknown

110
Citations
Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a me

Tony Lindeberg

2
Citations

Frequent Co-Authors

Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence

Per E. Roland University of Copenhagen

Axel Pinz Graz University of Technology

Bart M. ter Haar Romeny Eindhoven University of Technology

Ali Shokoufandeh Drexel University

Barbara Caputo Polytechnic University of Turin

Sven Dickinson University of Toronto

Stefan Carlsson Royal Institute of Technology

Anders Lansner Royal Institute of Technology

Karl Zilles Forschungszentrum Jülich

External Links

Personal website of Tony Lindeberg Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA often opens doors to various interdisciplinary fields and lucrative career opportunities. Many students consider expanding their expertise or switching career paths with flexible online programs, which offer both convenience and affordability.

For those interested in technology’s application to law enforcement, an criminal justice degree online accredited can be an excellent complement to technical skills, especially for cybersecurity and digital forensics roles.

Alternatively, combining programming skills with financial knowledge through online accounting degree programs can prepare you for careers in FinTech or data analytics within the finance sector.

With the rapid growth of big data, enrolling in an online masters in data science is another strategic pathway. These programs teach in-demand skills such as machine learning, data mining, and statistical analysis.

For students interested in the intersection of technology, engineering, and management, an online building construction degree provides specialized knowledge useful for roles in smart infrastructure and construction technology management.